Link: https://youtu.be/KUipuM3UJF4 https://go.dok.community/slack https://dok.community/ DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE) Kubernetes comes with a lot of useful features like Volumes and StatefulSets, which make running stateful workloads simple. Interestingly, when combined with the right tools, these features can make Kubernetes very valuable for developers wanting to run massive production databases in development! This is exactly what was seen at "Extendi". The developers at Extendi deal with a large amount of data in their production Kubernetes clusters. But when developing locally, they didn't have an easy way of replicating this data. This replication was needed because it allowed developers to test new features instantaneously without worrying if they would work as expected when pushed to production. But replicating a 100Gb+ production database for development wasn't turning out to be an easy task! This is where leveraging Kubernetes + remote development environments came to the rescue. Running data on Kubernetes turned out to be way faster than any of the traditional approaches because of Kubernetes' ability to handle stateful workloads exceptionally well. And since Extendi already used Kubernetes in production - the setup process was fairly simple. This talk will cover practical steps on how leveraging Kubernetes based development environments allowed dev teams at Extendi to run production data on Kubernetes during development using features like Volume Snapshots, having a huge positive impact on developer productivity. ----- Arsh is a Developer Experience Engineer at Okteto. He is an active contributor to the upstream Kubernetes project and was awarded the Kubernetes Contributor Award for his contributions in 2021. Arsh has written blogs and spoken about different topics in the cloud-native ecosystem at various conferences before, including KubeCon + CloudNativeCon + Open Source Summit China 2021. He has also been on the Kubernetes Release Team since the 1.23 release. He also serves as the New Contributor Ambassador for the Documentation Special Interest Group of the Kubernetes project and continuously mentors new folks in the community. Previously, he worked at VMware and was an active contributor to other CNCF projects, including cert-manager and Kyverno. ----- Lapo is a Software Engineer currently leading the development team of a Social Listening and Audience Intelligence platform. He started coding at the early age of 14 and since he turned his passion into a real job, he has always been looking for boosting his knowledge by constantly researching for newer and newer technologies. Active on Ruby Open Source projects ----- Ramiro Berrelleza is one of the founders of Okteto. He has spent most of his career (and his free time) building cloud services and developer tools. Before starting Okteto, Ramiro was an Architect at Atlassian and a Software Engineer at Microsoft Azure.

1. Leveraging Running Stateful
Workloads on Kubernetes for
the Benefit of Developers
Lapo Elisacci, Ramiro Berrelleza, Arsh Sharma

2. Kubernetes, Data, And Developers
● Data is already being run on Kubernetes in production
these days
● A similar solution, however, isn’t available during
development
● This amplifies the already large gap in dev environments
and production

3. Remote Development Environments
● Remote Dev Environments that
leverage K8s solve this
problem
● Exactly production like
environment during development
● Easy to replicate all data
based workloads running in
production while developing

5. How Extendi does it!
● Each developer has the option to get access to production
data during development easily
● An isolated namespace is used for databases where the DBs
are populated with production data
● Then snapshots are taken of the volumes attached to these
DBs
● These Volume Snapshots then are used to populate the
volumes in each developer’s namespace as needed

7. DEMO!

8. You can do even more cool stuff
● What you just saw was only one of
the many cool things you can do to
make development easy
● Running your dev environment on K8s
means, ANYTHING you do with data in
production - you can replicate
easily during development
● When there are convenient ways to
run Data on K8s, why not leverage
them for development too?

9. It is essential to bridge the gap
● Data plays a crucial role in
the performance of our
microservices
● Not being able to replicate
this EXACTLY as it happens in
production has a lot of
downsides
● Running production data on
Kubernetes during development
ensures we get genuine
feedback!

10. THank you!